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Wang J, Dong Z, Zhang Y, Hua W, Wang Z, Guo H, Yang Y, Bi X. StreamSAXS: a Python-based workflow platform for processing streaming SAXS/WAXS data. JOURNAL OF SYNCHROTRON RADIATION 2024; 31:1249-1256. [PMID: 39007823 PMCID: PMC11371052 DOI: 10.1107/s1600577524005149] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/30/2023] [Accepted: 05/30/2024] [Indexed: 07/16/2024]
Abstract
StreamSAXS is a Python-based small- and wide-angle X-ray scattering (SAXS/WAXS) data analysis workflow platform with graphical user interface (GUI). It aims to provide an interactive and user-friendly tool for analysis of both batch data files and real-time data streams. Users can easily create customizable workflows through the GUI to meet their specific needs. One characteristic of StreamSAXS is its plug-in framework, which enables developers to extend the built-in workflow tasks. Another feature is the support for both already acquired and real-time data sources, allowing StreamSAXS to function as an offline analysis platform or be integrated into large-scale acquisition systems for end-to-end data management. This paper presents the core design of StreamSAXS and provides user cases demonstrating its utilization for SAXS/WAXS data analysis in offline and online scenarios.
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Affiliation(s)
- Jiayi Wang
- Beijing Synchrotron Radiation Facility, Institute of High Energy PhysicsChinese Academy of SciencesBeijing100049People’s Republic of China
| | - Zheng Dong
- Beijing Synchrotron Radiation Facility, Institute of High Energy PhysicsChinese Academy of SciencesBeijing100049People’s Republic of China
- Spallation Neutron Source Science Center, Dongguan523803, People’s Republic of China
| | - Yi Zhang
- Beijing Synchrotron Radiation Facility, Institute of High Energy PhysicsChinese Academy of SciencesBeijing100049People’s Republic of China
- University of Chinese Academy of SciencesBeijing100049People’s Republic of China
| | - Wenqiang Hua
- Shanghai Synchrotron Radiation Facility, Shanghai Advanced Research InstituteChinese Academy of SciencesShanghai201204People’s Republic of China
| | - Zudeng Wang
- Beijing Synchrotron Radiation Facility, Institute of High Energy PhysicsChinese Academy of SciencesBeijing100049People’s Republic of China
- University of Chinese Academy of SciencesBeijing100049People’s Republic of China
| | - Huilong Guo
- Global Energy Interconnection Group Co. Ltd, Beijing100031, People’s Republic of China
| | - Yiming Yang
- Beijing Synchrotron Radiation Facility, Institute of High Energy PhysicsChinese Academy of SciencesBeijing100049People’s Republic of China
| | - Xiaoxue Bi
- Beijing Synchrotron Radiation Facility, Institute of High Energy PhysicsChinese Academy of SciencesBeijing100049People’s Republic of China
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2
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Vargo E, Ma L, Li H, Zhang Q, Kwon J, Evans KM, Tang X, Tovmasyan VL, Jan J, Arias AC, Destaillats H, Kuzmenko I, Ilavsky J, Chen WR, Heller W, Ritchie RO, Liu Y, Xu T. Functional composites by programming entropy-driven nanosheet growth. Nature 2023; 623:724-731. [PMID: 37938779 DOI: 10.1038/s41586-023-06660-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2023] [Accepted: 09/20/2023] [Indexed: 11/09/2023]
Abstract
Nanomaterials must be systematically designed to be technologically viable1-5. Driven by optimizing intermolecular interactions, current designs are too rigid to plug in new chemical functionalities and cannot mitigate condition differences during integration6,7. Despite extensive optimization of building blocks and treatments, accessing nanostructures with the required feature sizes and chemistries is difficult. Programming their growth across the nano-to-macro hierarchy also remains challenging, if not impossible8-13. To address these limitations, we should shift to entropy-driven assemblies to gain design flexibility, as seen in high-entropy alloys, and program nanomaterial growth to kinetically match target feature sizes to the mobility of the system during processing14-17. Here, following a micro-then-nano growth sequence in ternary composite blends composed of block-copolymer-based supramolecules, small molecules and nanoparticles, we successfully fabricate high-performance barrier materials composed of more than 200 stacked nanosheets (125 nm sheet thickness) with a defect density less than 0.056 µm-2 and about 98% efficiency in controlling the defect type. Contrary to common perception, polymer-chain entanglements are advantageous to realize long-range order, accelerate the fabrication process (<30 min) and satisfy specific requirements to advance multilayered film technology3,4,18. This study showcases the feasibility, necessity and unlimited opportunities to transform laboratory nanoscience into nanotechnology through systems engineering of self-assembly.
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Affiliation(s)
- Emma Vargo
- Department of Materials Science and Engineering, University of California, Berkeley, Berkeley, CA, USA
- Materials Sciences Division, Lawrence Berkeley National Laboratory, Berkeley, CA, USA
| | - Le Ma
- Department of Materials Science and Engineering, University of California, Berkeley, Berkeley, CA, USA
- Materials Sciences Division, Lawrence Berkeley National Laboratory, Berkeley, CA, USA
| | - He Li
- Materials Sciences Division, Lawrence Berkeley National Laboratory, Berkeley, CA, USA
- The Molecular Foundry, Lawrence Berkeley National Laboratory, Berkeley, CA, USA
| | - Qingteng Zhang
- X-ray Science Division, Argonne National Laboratory, Lemont, IL, USA
| | - Junpyo Kwon
- Materials Sciences Division, Lawrence Berkeley National Laboratory, Berkeley, CA, USA
- Department of Mechanical Engineering, University of California, Berkeley, Berkeley, CA, USA
| | - Katherine M Evans
- Department of Chemistry, University of California, Berkeley, Berkeley, CA, USA
| | - Xiaochen Tang
- Energy Technologies Area, Lawrence Berkeley National Laboratory, Berkeley, CA, USA
| | - Victoria L Tovmasyan
- Department of Materials Science and Engineering, University of California, Berkeley, Berkeley, CA, USA
| | - Jasmine Jan
- Department of Electrical Engineering and Computer Sciences, University of California, Berkeley, Berkeley, CA, USA
| | - Ana C Arias
- Department of Electrical Engineering and Computer Sciences, University of California, Berkeley, Berkeley, CA, USA
| | - Hugo Destaillats
- Energy Technologies Area, Lawrence Berkeley National Laboratory, Berkeley, CA, USA
| | - Ivan Kuzmenko
- X-ray Science Division, Argonne National Laboratory, Lemont, IL, USA
| | - Jan Ilavsky
- X-ray Science Division, Argonne National Laboratory, Lemont, IL, USA
| | - Wei-Ren Chen
- Neutron Scattering Division, Oak Ridge National Laboratory, Oak Ridge, TN, USA
| | - William Heller
- Neutron Scattering Division, Oak Ridge National Laboratory, Oak Ridge, TN, USA
| | - Robert O Ritchie
- Department of Materials Science and Engineering, University of California, Berkeley, Berkeley, CA, USA
- Materials Sciences Division, Lawrence Berkeley National Laboratory, Berkeley, CA, USA
- Department of Mechanical Engineering, University of California, Berkeley, Berkeley, CA, USA
| | - Yi Liu
- Materials Sciences Division, Lawrence Berkeley National Laboratory, Berkeley, CA, USA
- The Molecular Foundry, Lawrence Berkeley National Laboratory, Berkeley, CA, USA
| | - Ting Xu
- Department of Materials Science and Engineering, University of California, Berkeley, Berkeley, CA, USA.
- Materials Sciences Division, Lawrence Berkeley National Laboratory, Berkeley, CA, USA.
- Department of Chemistry, University of California, Berkeley, Berkeley, CA, USA.
- Kavli Energy NanoScience Institute, Berkeley, CA, USA.
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3
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Switalski K, Fan J, Li L, Chu M, Sarnello E, Jemian P, Li T, Wang Q, Zhang Q. Direct measurement of Stokes-Einstein diffusion of Cowpea mosaic virus with 19 µs-resolved XPCS. JOURNAL OF SYNCHROTRON RADIATION 2022; 29:1429-1435. [PMID: 36345751 PMCID: PMC9641563 DOI: 10.1107/s1600577522008402] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 05/19/2022] [Accepted: 08/23/2022] [Indexed: 06/16/2023]
Abstract
Brownian motion of Cowpea mosaic virus (CPMV) in water was measured using small-angle X-ray photon correlation spectroscopy (SA-XPCS) at 19.2 µs time resolution. It was found that the decorrelation time τ(Q) = 1/DQ2 up to Q = 0.091 nm-1. The hydrodynamic radius RH determined from XPCS using Stokes-Einstein diffusion D = kT/(6πηRH) is 43% larger than the geometric radius R0 determined from SAXS in the 0.007 M K3PO4 buffer solution, whereas it is 80% larger for CPMV in 0.5 M NaCl and 104% larger in 0.5 M (NH4)2SO4, a possible effect of aggregation as well as slight variation of the structures of the capsid resulting from the salt-protein interactions.
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Affiliation(s)
- Kacper Switalski
- Department of Chemical Engineering, University of Illinois at Chicago, Chicago, IL 60611, USA
| | - Jingyu Fan
- Department of Chemistry and Biochemistry, University of South Carolina, Columbia, SC 29208, USA
| | - Luxi Li
- X-ray Science Division, Argonne National Laboratory, 9700 South Cass Avenue, Argonne, IL 60439, USA
| | - Miaoqi Chu
- X-ray Science Division, Argonne National Laboratory, 9700 South Cass Avenue, Argonne, IL 60439, USA
| | - Erik Sarnello
- Department of Chemistry and Biochemistry, Northern Illinois University, DeKalb, IL 60115, USA
| | - Pete Jemian
- X-ray Science Division, Argonne National Laboratory, 9700 South Cass Avenue, Argonne, IL 60439, USA
| | - Tao Li
- Department of Chemistry and Biochemistry, Northern Illinois University, DeKalb, IL 60115, USA
| | - Qian Wang
- Department of Chemistry and Biochemistry, University of South Carolina, Columbia, SC 29208, USA
| | - Qingteng Zhang
- X-ray Science Division, Argonne National Laboratory, 9700 South Cass Avenue, Argonne, IL 60439, USA
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4
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Sherrell DA, Lavens A, Wilamowski M, Kim Y, Chard R, Lazarski K, Rosenbaum G, Vescovi R, Johnson JL, Akins C, Chang C, Michalska K, Babnigg G, Foster I, Joachimiak A. Fixed-target serial crystallography at the Structural Biology Center. JOURNAL OF SYNCHROTRON RADIATION 2022; 29:1141-1151. [PMID: 36073872 PMCID: PMC9455217 DOI: 10.1107/s1600577522007895] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/18/2022] [Accepted: 08/05/2022] [Indexed: 05/30/2023]
Abstract
Serial synchrotron crystallography enables the study of protein structures under physiological temperature and reduced radiation damage by collection of data from thousands of crystals. The Structural Biology Center at Sector 19 of the Advanced Photon Source has implemented a fixed-target approach with a new 3D-printed mesh-holder optimized for sample handling. The holder immobilizes a crystal suspension or droplet emulsion on a nylon mesh, trapping and sealing a near-monolayer of crystals in its mother liquor between two thin Mylar films. Data can be rapidly collected in scan mode and analyzed in near real-time using piezoelectric linear stages assembled in an XYZ arrangement, controlled with a graphical user interface and analyzed using a high-performance computing pipeline. Here, the system was applied to two β-lactamases: a class D serine β-lactamase from Chitinophaga pinensis DSM 2588 and L1 metallo-β-lactamase from Stenotrophomonas maltophilia K279a.
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Affiliation(s)
- Darren A. Sherrell
- Structural Biology Center, X-ray Science Division, Argonne National Laboratory, Lemont, IL 60439, USA
| | - Alex Lavens
- Structural Biology Center, X-ray Science Division, Argonne National Laboratory, Lemont, IL 60439, USA
| | - Mateusz Wilamowski
- Center for Structural Genomics of Infectious Diseases, Consortium for Advanced Science and Engineering, University of Chicago, Chicago, IL 60667, USA
| | - Youngchang Kim
- Structural Biology Center, X-ray Science Division, Argonne National Laboratory, Lemont, IL 60439, USA
- Center for Structural Genomics of Infectious Diseases, Consortium for Advanced Science and Engineering, University of Chicago, Chicago, IL 60667, USA
| | - Ryan Chard
- Data Science and Learning Division, Argonne National Laboratory, Lemont, IL 60439, USA
| | - Krzysztof Lazarski
- Structural Biology Center, X-ray Science Division, Argonne National Laboratory, Lemont, IL 60439, USA
| | - Gerold Rosenbaum
- Structural Biology Center, X-ray Science Division, Argonne National Laboratory, Lemont, IL 60439, USA
| | - Rafael Vescovi
- Data Science and Learning Division, Argonne National Laboratory, Lemont, IL 60439, USA
| | - Jessica L. Johnson
- Biosciences Division, Argonne National Laboratory, Lemont, IL 60439, USA
| | - Chase Akins
- Biosciences Division, Argonne National Laboratory, Lemont, IL 60439, USA
| | - Changsoo Chang
- Structural Biology Center, X-ray Science Division, Argonne National Laboratory, Lemont, IL 60439, USA
- Center for Structural Genomics of Infectious Diseases, Consortium for Advanced Science and Engineering, University of Chicago, Chicago, IL 60667, USA
| | - Karolina Michalska
- Structural Biology Center, X-ray Science Division, Argonne National Laboratory, Lemont, IL 60439, USA
- Center for Structural Genomics of Infectious Diseases, Consortium for Advanced Science and Engineering, University of Chicago, Chicago, IL 60667, USA
| | - Gyorgy Babnigg
- Biosciences Division, Argonne National Laboratory, Lemont, IL 60439, USA
| | - Ian Foster
- Data Science and Learning Division, Argonne National Laboratory, Lemont, IL 60439, USA
| | - Andrzej Joachimiak
- Structural Biology Center, X-ray Science Division, Argonne National Laboratory, Lemont, IL 60439, USA
- Center for Structural Genomics of Infectious Diseases, Consortium for Advanced Science and Engineering, University of Chicago, Chicago, IL 60667, USA
- Department of Biochemistry and Molecular Biology, University of Chicago, Chicago, IL 60367, USA
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5
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Chu M, Li J, Zhang Q, Jiang Z, Dufresne EM, Sandy A, Narayanan S, Schwarz N. pyXPCSviewer: an open-source interactive tool for X-ray photon correlation spectroscopy visualization and analysis. JOURNAL OF SYNCHROTRON RADIATION 2022; 29:1122-1129. [PMID: 35787580 PMCID: PMC9255579 DOI: 10.1107/s1600577522004830] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 04/11/2022] [Accepted: 05/05/2022] [Indexed: 06/15/2023]
Abstract
pyXPCSviewer, a Python-based graphical user interface that is deployed at beamline 8-ID-I of the Advanced Photon Source for interactive visualization of XPCS results, is introduced. pyXPCSviewer parses rich X-ray photon correlation spectroscopy (XPCS) results into independent PyQt widgets that are both interactive and easy to maintain. pyXPCSviewer is open-source and is open to customization by the XPCS community for ingestion of diversified data structures and inclusion of novel XPCS techniques, both of which are growing demands particularly with the dawn of near-diffraction-limited synchrotron sources and their dedicated XPCS beamlines.
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Affiliation(s)
- Miaoqi Chu
- X-ray Science Division, Argonne National Laboratory, 9700 South Cass Avenue, Argonne, IL 60439, USA
| | - Jeffrey Li
- X-ray Science Division, Argonne National Laboratory, 9700 South Cass Avenue, Argonne, IL 60439, USA
| | - Qingteng Zhang
- X-ray Science Division, Argonne National Laboratory, 9700 South Cass Avenue, Argonne, IL 60439, USA
| | - Zhang Jiang
- X-ray Science Division, Argonne National Laboratory, 9700 South Cass Avenue, Argonne, IL 60439, USA
| | - Eric M. Dufresne
- X-ray Science Division, Argonne National Laboratory, 9700 South Cass Avenue, Argonne, IL 60439, USA
| | - Alec Sandy
- X-ray Science Division, Argonne National Laboratory, 9700 South Cass Avenue, Argonne, IL 60439, USA
| | - Suresh Narayanan
- X-ray Science Division, Argonne National Laboratory, 9700 South Cass Avenue, Argonne, IL 60439, USA
| | - Nicholas Schwarz
- X-ray Science Division, Argonne National Laboratory, 9700 South Cass Avenue, Argonne, IL 60439, USA
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6
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Zhang Q, Dufresne EM, Nakaye Y, Jemian PR, Sakumura T, Sakuma Y, Ferrara JD, Maj P, Hassan A, Bahadur D, Ramakrishnan S, Khan F, Veseli S, Sandy AR, Schwarz N, Narayanan S. 20 µs-resolved high-throughput X-ray photon correlation spectroscopy on a 500k pixel detector enabled by data-management workflow. JOURNAL OF SYNCHROTRON RADIATION 2021; 28:259-265. [PMID: 33399576 DOI: 10.1107/s1600577520014319] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/03/2020] [Accepted: 10/28/2020] [Indexed: 06/12/2023]
Abstract
The performance of the new 52 kHz frame rate Rigaku XSPA-500k detector was characterized on beamline 8-ID-I at the Advanced Photon Source at Argonne for X-ray photon correlation spectroscopy (XPCS) applications. Due to the large data flow produced by this detector (0.2 PB of data per 24 h of continuous operation), a workflow system was deployed that uses the Advanced Photon Source data-management (DM) system and high-performance software to rapidly reduce area-detector data to multi-tau and two-time correlation functions in near real time, providing human-in-the-loop feedback to experimenters. The utility and performance of the workflow system are demonstrated via its application to a variety of small-angle XPCS measurements acquired from different detectors in different XPCS measurement modalities. The XSPA-500k detector, the software and the DM workflow system allow for the efficient acquisition and reduction of up to ∼109 area-detector data frames per day, facilitating the application of XPCS to measuring samples with weak scattering and fast dynamics.
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Affiliation(s)
- Qingteng Zhang
- X-ray Science Division, Argonne National Laboratory, 9700 South Cass Avenue, Lemont, IL 60439, USA
| | - Eric M Dufresne
- X-ray Science Division, Argonne National Laboratory, 9700 South Cass Avenue, Lemont, IL 60439, USA
| | - Yasukazu Nakaye
- XRD Design and Engineering Department, Rigaku Corporation, 3-9-12 Matsubara-cho, Akishima-shi, Tokyo, Japan
| | - Pete R Jemian
- X-ray Science Division, Argonne National Laboratory, 9700 South Cass Avenue, Lemont, IL 60439, USA
| | - Takuto Sakumura
- XRD Design and Engineering Department, Rigaku Corporation, 3-9-12 Matsubara-cho, Akishima-shi, Tokyo, Japan
| | - Yasutaka Sakuma
- XRD Design and Engineering Department, Rigaku Corporation, 3-9-12 Matsubara-cho, Akishima-shi, Tokyo, Japan
| | - Joseph D Ferrara
- XRD Design and Engineering Department, Rigaku Corporation, 3-9-12 Matsubara-cho, Akishima-shi, Tokyo, Japan
| | - Piotr Maj
- AGH University of Science and Technology, av. Mickiewicza 30, Krakow 30-059, Poland
| | - Asra Hassan
- Chemical and Biomedical Engineering, FAMU-FSU College of Engineering, Tallahassee, FL 32310, USA
| | - Divya Bahadur
- Chemical and Biomedical Engineering, FAMU-FSU College of Engineering, Tallahassee, FL 32310, USA
| | - Subramanian Ramakrishnan
- Chemical and Biomedical Engineering, FAMU-FSU College of Engineering, Tallahassee, FL 32310, USA
| | - Faisal Khan
- X-ray Science Division, Argonne National Laboratory, 9700 South Cass Avenue, Lemont, IL 60439, USA
| | - Sinisa Veseli
- X-ray Science Division, Argonne National Laboratory, 9700 South Cass Avenue, Lemont, IL 60439, USA
| | - Alec R Sandy
- X-ray Science Division, Argonne National Laboratory, 9700 South Cass Avenue, Lemont, IL 60439, USA
| | - Nicholas Schwarz
- X-ray Science Division, Argonne National Laboratory, 9700 South Cass Avenue, Lemont, IL 60439, USA
| | - Suresh Narayanan
- X-ray Science Division, Argonne National Laboratory, 9700 South Cass Avenue, Lemont, IL 60439, USA
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7
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Orban D, Banesh D, Tauxe C, Biwer CM, Biswas A, Saavedra R, Sweeney C, Sandberg RL, Bolme CA, Ahrens J, Rogers D. Cinema:Bandit: a visualization application for beamline science demonstrated on XFEL shock physics experiments. JOURNAL OF SYNCHROTRON RADIATION 2020; 27:1-10. [PMID: 31868729 DOI: 10.1107/s1600577519014322] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/25/2019] [Accepted: 10/21/2019] [Indexed: 06/10/2023]
Abstract
A new visualization tool, Cinema:Bandit, and its demonstration with a continuous workflow for analyzing shock physics experiments and visually exploring the data in real time at X-ray light sources is presented. Cinema:Bandit is an open-source, web-based visualization application in which the experimenter may explore an aggregated dataset to inform real-time beamline decisions and enable post hoc data analysis. The tool integrates with experimental workflows that process raw detector data into a simple database format, and it allows visualization of disparate data types, including experimental parameters, line graphs, and images. Use of parallel coordinates accommodates the irregular sampling of experimental parameters and allows for display and filtering of both experimental inputs and measurements. The tool is demonstrated on a dataset of shock-compressed titanium collected at the Matter in Extreme Conditions hutch at the Linac Coherent Light Source.
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Affiliation(s)
- Daniel Orban
- Los Alamos National Laboratory, Los Alamos, NM 87545, USA
| | - Divya Banesh
- Los Alamos National Laboratory, Los Alamos, NM 87545, USA
| | - Cameron Tauxe
- Los Alamos National Laboratory, Los Alamos, NM 87545, USA
| | | | - Ayan Biswas
- Los Alamos National Laboratory, Los Alamos, NM 87545, USA
| | - Ramon Saavedra
- Los Alamos National Laboratory, Los Alamos, NM 87545, USA
| | | | | | - C A Bolme
- Los Alamos National Laboratory, Los Alamos, NM 87545, USA
| | - James Ahrens
- Los Alamos National Laboratory, Los Alamos, NM 87545, USA
| | - David Rogers
- Los Alamos National Laboratory, Los Alamos, NM 87545, USA
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8
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Park JS, Horn C, Ramanathan P, Kenesei P, Veseli S. Data management and processing workflow for the Materials Physics and Engineering group beamlines at the Advanced Photon Source. JOURNAL OF SYNCHROTRON RADIATION 2019; 26:373-381. [PMID: 30855245 DOI: 10.1107/s1600577519000584] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/28/2018] [Accepted: 01/10/2019] [Indexed: 06/09/2023]
Abstract
The ability to store, organize, process and distribute experimental data effectively, efficiently and securely is particularly important for large user facilities like the Advanced Photon Source. In this article, the deployment of the APS Data Management System (DM) at the 1-ID and 6-BM beamlines of the APS is described. These two beamlines support a wide range of experimental techniques and generate data at relatively high rates, making them ideal candidates to illustrate the deployment and customization of the DM system and its tools. Using several usage examples at these beamlines, various capabilities of the DM system are described.
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Affiliation(s)
- Jun Sang Park
- Advanced Photon Source, Argonne National Laboratory, Lemont, IL 60439, USA
| | - Connor Horn
- Advanced Photon Source, Argonne National Laboratory, Lemont, IL 60439, USA
| | - Prithvi Ramanathan
- Advanced Photon Source, Argonne National Laboratory, Lemont, IL 60439, USA
| | - Peter Kenesei
- Advanced Photon Source, Argonne National Laboratory, Lemont, IL 60439, USA
| | - Siniša Veseli
- Advanced Photon Source, Argonne National Laboratory, Lemont, IL 60439, USA
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